Latka logo

Top 11 Active Metadata Management Software Companies With $1M–$5M Revenue (August 2026)

As of August 2026, Latka tracks 11 active metadata management software companies with $1M–$5M in annual revenue. They have combined revenues of $37.5M and employ 377 people. They have raised $8.9M.

Every company below sells active metadata management software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Active Metadata Management Software Companies do

Active Metadata Management Software refers to solutions designed to continuously capture and manage metadata in real time, ensuring that data remains current and relevant across systems. Unlike traditional static metadata, active metadata is dynamic and updates itself as data changes, moves, and is utilized within an organization, which enhances the experience for data users and promotes data governance. Primary use cases for this software include improving data discovery, quality, and compliance, as well as enabling sophisticated data analysis processes. Features often found in these solutions include automated metadata updates, impact analysis, lineage tracking, and collaboration tools that allow cross-functional teams to leverage data more effectively. Typical users of active metadata management tools encompass data analysts, data engineers, IT professionals, and data governance teams, all of whom require efficient access to accurate metadata for their operations.

Companies
11
Revenue
$37.5M
Funding
$8.9M
Employees
377

Filters

Sorting: Highest -> Lowest

Filters

Top Active Metadata Management Software Companies With $1M–$5M Revenue

Showing 10 of 11 companies ranked by annual revenue.

1CluedIn logo
CluedIn

Copenhagen, Capital Region, Denmark

CluedIn is the Master Data Management platform built for Microsoft Azure. With over 27 integrations to Microsoft data and analytics services including Microsoft Purview and Microsoft Fabric, our customers trust us to deliver the data they need to drive the insights they want. CluedIn is quick to implement, simple to set up and can integrate hundreds more data sources than its nearest competitor. Our innovative, zero-modelling approach allows you to prepare, govern and share both structured and unstructured data across the business, ensuring that it is ready to use across the whole value chain.

Revenue
$4.7M
Year founded
2015
Team size
43
2Dataedo logo
Dataedo

Raleigh, North Carolina, United States

Dataedo is a data governance and data catalog solution tailored for data-driven organizations. Our mission is to assist companies in unlocking the full potential of their data, promoting data democratization, and facilitating self-service analytics.

Revenue
$4.6M
Year founded
2013
Team size
42
3Promethium logo
Promethium

Menlo Park, California, United States

With AI in the enterprise, businesses are demanding immediate access and insight from all their enterprise data, but are challenged because current generation pipeline-driven modern data stack tools and LLM models are too slow, expensive or inaccurate. Promethium enables data teams to deliver self-service data with instant and accurate data answers based on an Agentic Data Fabric. Promethium makes data teams more productive and accelerates the collaboration with the business while maintaining governance and control. Industry leaders like National Grid and Vital Farms rely on Promethium to deliver self-service data. Gartner named Promethium as a cool vendor for its agentic fabric in 2024. Learn more at www.promethium.ai.

Revenue
$4.4M
Year founded
2018
Team size
40
4TopQuadrant logo
TopQuadrant

Raleigh, North Carolina, United States

TopQuadrant helps organizations succeed in information management. Its flagship product, TopBraid EDG, uses Knowledge Graph technologies to connect metadata silos and deliver meaningful access for all data stakeholders to enterprise metadata, business terms, reference data, data and application catalogs, data lineage, requirements, policies, and processes.  TopBraid Enterprise Data Governance™ (EDG) supports the governance and provisioning of enterprise metadata, business glossaries and reference data. TopBraid Enterprise Vocabulary Net™ supports collaborative management of taxonomies and ontologies and offers auto-classification of documents and search enhancement. TopQuadrant customers include many government agencies and Fortune 1000 companies in numerous industries including pharmaceutical, financial services, energy and digital media. For more information, visit www.topquadrant.com.

Revenue
$4.1M
Year founded
2001
Team size
37
5Dawiso logo
Dawiso

Prague, Prague, Czech Republic

AI without context is just guessing. Dawiso automatically transforms scattered enterprise data into an intelligent, business-ready context that AI agents can understand and trust. Our AI Context Layer goes beyond traditional data cataloging by auto-generating semantic relationships, business definitions, and data lineage from your existing sources, without manual configuration. We connect your governed data context directly to AI agents via Model Context Protocol (MCP), enabling reliable natural language queries, conversational analytics, and autonomous data discovery. Dawiso brings context directly into your AI applications and workflows, for example, when your AI agent queries data and needs to understand what a metric means or how tables relate to each other. From automatically building comprehensive data catalogs to creating living business glossaries with human-in-the-loop validation, Dawiso provides the foundational context layer that makes enterprise AI actually work. Built for data teams, CDOs, CIOs, or CTOs who need reliable AI, understand their data and business.

Revenue
$4M
Year founded
2019
Team size
36
6Nexla logo
Nexla

San Mateo, California, United States

Developer of Saas based data operations platform designed to manage inter-company data collaboration. The company's platform allows business users to send, receive, transform, and monitor data in their preferred format via an easy-to-use web interface, enabling companies to quickly derive value from their data, with minimal engineering required.

Revenue
$3.6M
Year founded
2016
Team size
66
7SCIKIQ logo
SCIKIQ

Gurgaon, Haryana, India

SCIKIQ brings together everything an enterprise needs to scale AI, clean data, trusted governance, semantic context, real-time orchestration, and intelligent agents, all in one platform. Deployed across BFSI, Telecom, Retail, and Public Sector, Trusted by many companies • Our plug-and-play AI Readiness Layer that integrates with any data stack without disruption. • The GenAI-based data agent that mimics how a human data expert would process and surface insights. • Unified Data Layer — a foundational architecture that creates a single version of truth across all data sources, departments, and use cases within the enterprise. • 360° data governance and control with unmatched speed of deployment (4x faster than legacy systems). • Recognized by Forrester, deployed at MWC and AWS re:Invent, and trusted by global enterprises. This is not just a technical layer; it’s a strategic enabler that allows enterprises to scale AI initiatives reliably across business and tech functions, regardless of their existing stack complexity. While many tools focus on siloed capabilities — data integration, governance, analytics, or MLOps — SCIKIQ is purpose-built as the AI Readiness Layer, seamlessly combining all these capabilities into a single, unified platform. This convergence creates three layers of defensibility: •Deep Integration into Enterprise Workflows – Once deployed, our platform becomes the nervous system of AI adoption. Replacing it is disruptive and cost-prohibitive. •Data Network Effects – Our platform improves with usage by learning from metadata, lineage, quality issues, and usage patterns across departments. •AI at Execution Level – We don’t just prepare data for AI, we help execute AI-powered processes, automations, and products at scale, making us core to revenue-generating outcomes. SCIKIQ isn’t just replacing fragmented data tools, it’s enabling a new AI-native operating layer across the enterprise. That’s a category-defining opportunity.

Revenue
$3.4M
Year founded
2023
Team size
31
8Vionlabs logo
Vionlabs

Stockholm, Sweden

Provider of a media controlling technology designed to solve the issue faced by movie lovers of what to watch and where to watch it. The company's media controlling technology is engaged in the development of applications to control the content of media and entertainment, enabling users to make meaningful data-driven decisions based on relevant real-time data.

Revenue
$3.1M
Year founded
2010
Funding
$8.4M
Team size
29
9IDERA ER/Studio logo
IDERA ER/Studio

Houston, Texas, United States

ER/Studio is a powerful enterprise data architecture solution that connects data architecture with data governance to take an Enterprise approach to data. Business stakeholders can collaborate with data professionals, participate in the metadata definition workflow, and access information on models and metadata at the right level for their needs. Build a business-driven enterprise data architecture with ER/Studio.

Revenue
$3M
Year founded
2013
Team size
27
10QaamGo Media GmbH logo
QaamGo Media GmbH

United States

WELCOME TO THE QAAMGO UNIVERSE Online File Editing and Conversion Since 2009, when our first project “online-convert.com” went online, CEO Jens Bierkandt followed the vision to make file conversion as easy as possible. Just by using the web browser, without installing and updating any software, users should be able to upload their files and process them online. Years passed by and the list of projects grew and now everybody using our tools can edit files (e.g. PDF editor), merge, split, cut, and compress files (lossless and lossy), take screenshots, encrypt them and much more. We are proud to announce that we have lately implemented AI features in our projects which makes conversions even more powerful and exciting. The whole functionality has been made available via an API to allow other businesses to build their own apps using our infrastructure. We count over 1 Million users every day. QaamGo Media consists of a local office team located in Radolfzell, Germany, and a group of excellent freelancers from all over the world. For our headquarter in Germany, we are continuously looking for new and inspired, motivated and dedicated talents. You can find our imprint here: https://www.qaamgo.com/en/about-us/

Revenue
$1.4M
Year founded
2011
Team size
13

Frequently asked questions about Active Metadata Management Software Companies With $1M–$5M Revenue

How many active metadata management software companies with $1M–$5M in annual revenue are there?

Latka tracks 11 active metadata management software companies with $1M–$5M in annual revenue. Together they generate $37.5M in annual revenue and employ 377 people.

Which active metadata management software company with $1M–$5M in annual revenue is the largest?

CluedIn is the largest, with $4.7M in annual revenue, founded in 2015.

How much revenue does a typical active metadata management software company with $1M–$5M in annual revenue make?

The average active metadata management software company in this list makes $3.4M a year, across 11 companies with reported revenue.

Who are the leading Active Metadata Management software vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are CluedIn, Dataedo, Promethium, TopQuadrant and Dawiso.

How much funding have active metadata management software companies with $1M–$5M in annual revenue raised?

The 11 active metadata management software companies with $1M–$5M in annual revenue tracked here have raised $8.9M in disclosed funding between them.

Related IT Infrastructure Software categories

Inclusion Criteria

- The software must offer real-time updates and management of metadata. - It should provide features for data lineage tracking and impact analysis. - Capabilities for automated metadata governance and quality checks are required. - The product must support integration with various data systems and platforms. - It should enable users to visualize metadata contexts and relationships. - Not just a static metadata repository; must also facilitate dynamic interactions based on current data usage patterns.